Eduardo J. Izquierdo

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Randall D. BeerProvost Professor of Cognitive Science, Provost Professor of Informatics & Computing, IndianaVerified email at indiana.edu
Madhavun Candadai VasuPh.D., Cognitive Science, Indiana UniversityVerified email at path-robotics.com
Inman HarveyUniversity of SussexVerified email at sussex.ac.uk
Shawn LockeryUniversity of OregonVerified email at nemametrix.com
Tom FroeseOkinawa Institute of Science and TechnologyVerified email at oist.jp
Erick OlivaresNeuroscience Institute, UTSAVerified email at utsa.edu
Theodore LindsayPostdoctoral Researcher, University of OregonVerified email at uw.edu
Serge FaumontUniversity of OregonVerified email at uoneuro.uoregon.edu
Tod ThieleUniversity of Toronto - ScarboroughVerified email at utoronto.ca
Ezequiel Di PaoloIkerbasque - Basque Science FoundationVerified email at sussex.ac.uk
Nathaniel VirgoEarth-Life Science Institute, TokyoVerified email at sacral.c.u-tokyo.ac.jp
Yong-Yeol AhnAssociate Professor of Informatics, Indiana University BloomingtonVerified email at iu.edu
Miguel AguileraUniversity of SussexVerified email at maguilera.net
Thomas BuhrmannPostDoc at the IAS Research Centre for Life, Mind and Society, San SebastianVerified email at ehu.es
Paul Williamsindiana universityVerified email at indiana.edu
Jason YoderRose-Hulman Institute of TechnologyVerified email at rose-hulman.edu
Beth PlaleMichael A and Laurie Burns McRobbie Bicentennial Professor of Computer Engineering, IndianaVerified email at indiana.edu
Cori BargmannTorsten Wiesel Professor, The Rockefeller UniversityVerified email at rockefeller.edu

Eduardo J. Izquierdo

Assistant Professor, Indiana University

Verified email at indiana.edu - Homepage

Computational Neuroethology Computational Neuroscience Artificial Life Complex Systems Artificial Intelligence


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A stochastic neuronal model predicts random search behaviors at multiple spatial scales in C. elegans WM Roberts, SB Augustine, KJ Lawton, TH Lindsay, TR Thiele, ... Elife 5, e12572, 2016	99	2016
Evolution and analysis of minimal neural circuits for klinotaxis in Caenorhabditis elegans EJ Izquierdo, SR Lockery Journal of Neuroscience 30 (39), 12908-12917, 2010	88	2010
Autonomy: a review and a reappraisal T Froese, N Virgo, E Izquierdo European Conference on Artificial Life, 455-464, 2007	85	2007
Connecting a Connectome to Behavior: An Ensemble of Neuroanatomical Models of C. elegans Klinotaxis EJ Izquierdo, RD Beer PLoS computational biology 9 (2), e1002890, 2013	83	2013
Associative learning on a continuum in evolved dynamical neural networks E Izquierdo, I Harvey, RD Beer Adaptive Behavior 16 (6), 361-384, 2008	47	2008
Analysis of a Dynamical Recurrent Neural Network Evolved for Two Qualitatively Different Tasks: Walking and Chemotaxis. E Izquierdo, T Bührmann ALIFE, 257-264, 2008	42	2008
The whole worm: brain–body–environment models of C. elegans EJ Izquierdo, RD Beer Current opinion in neurobiology 40, 23-30, 2016	34	2016
Potential role of a ventral nerve cord central pattern generator in forward and backward locomotion in Caenorhabditis elegans EO Olivares, EJ Izquierdo, RD Beer Network Neuroscience 2 (3), 323-343, 2018	33	2018
Is an embodied system ever purely reactive? E Izquierdo-Torres, ED Paolo European Conference on Artificial Life, 252-261, 2005	29	2005
From head to tail: a neuromechanical model of forward locomotion in Caenorhabditis elegans EJ Izquierdo, RD Beer Philosophical Transactions of the Royal Society B: Biological Sciences 373 …, 2018	27	2018
Optimal modularity and memory capacity of neural reservoirs N Rodriguez, E Izquierdo, YY Ahn Network Neuroscience 3 (2), 551-566, 2019	23	2019
Information flow through a model of the C. elegans klinotaxis circuit EJ Izquierdo, PL Williams, RD Beer PloS one 10 (10), e0140397, 2015	23	2015
Embodied dyadic interaction increases complexity of neural dynamics: A minimal agent-based simulation model M Candadai, M Setzler, EJ Izquierdo, T Froese Frontiers in psychology 10, 540, 2019	21	2019
An integrated neuromechanical model of steering in C. elegans EJ Izquierdo, RD Beer ECAL 2015: the 13th European Conference on Artificial Life, 199-206, 2015	18	2015
Collective intelligence in multi-agent robotics: Stigmergy, self-organization and evolution E Izquierdo-Torres University of Sussex, 2004	16	2004
Role of simulation models in understanding the generation of behavior in C. áelegans EJ Izquierdo Current Opinion in Systems Biology 13, 93-101, 2019	14	2019
Hebbian Learning using Fixed Weight Evolved DynamicalNeural'Networks E Izquierdo-Torres, I Harvey 2007 IEEE Symposium on Artificial Life, 394-401, 2007	14	2007
Analysis of ultrastability in small dynamical recurrent neural networks E Izquierdo, M Aguilera, R Beer ECAL 2013: The Twelfth European Conference on Artificial Life, 51-58, 2013	13	2013
The dynamics of learning behaviour: a situated, embodied, and dynamical systems approach EJ Izquierdo University of Sussex, 2008	13	2008
The evolution of evolvability in gene transcription networks. E Izquierdo, C Fernando ALIFE, 265-273, 2008	11	2008

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